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  <div class="headertitle"><div class="title">BoxConstrainedProblems.h</div></div>
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<a href="_box_constrained_problems_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment"> * </span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> *</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> * \brief       Quadratic program definitions.</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * </span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> *</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \author      T. Glasmachers, O.Krause</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \date        2013</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> *</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * </span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * </span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * </span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> *</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> */</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="preprocessor">#ifndef SHARK_ALGORITHMS_QP_BOXCONSTRAINEDPROBLEMS_H</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="preprocessor">#define SHARK_ALGORITHMS_QP_BOXCONSTRAINEDPROBLEMS_H</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;<a class="code" href="_qp_solver_8h.html">shark/Algorithms/QP/QpSolver.h</a>&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#include &lt;shark/Algorithms/QP/Impl/AnalyticProblems.h&gt;</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#include &lt;<a class="code" href="_box_based_shrinking_strategy_8h.html">shark/Algorithms/QP/BoxBasedShrinkingStrategy.h</a>&gt;</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="comment"></span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment">/// \brief Working set selection by maximization of the projected gradient.</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment">///</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment">/// This selection operator picks the largest and second largest variable index if possible.</span></div>
<div class="foldopen" id="foldopen00044" data-start="{" data-end="};">
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"><a class="line" href="structshark_1_1_w_s2_maximum_gradient_criterion.html">   44</a></span><span class="comment"></span><span class="keyword">struct </span><a class="code hl_struct" href="structshark_1_1_w_s2_maximum_gradient_criterion.html" title="Working set selection by maximization of the projected gradient.">WS2MaximumGradientCriterion</a>{</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Problem&gt;</div>
<div class="foldopen" id="foldopen00046" data-start="{" data-end="}">
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"><a class="line" href="structshark_1_1_w_s2_maximum_gradient_criterion.html#aa8c50f6f2d3d51a215bd355baf638b7c">   46</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="structshark_1_1_w_s2_maximum_gradient_criterion.html#aa8c50f6f2d3d51a215bd355baf638b7c">operator()</a>(Problem&amp; problem, std::size_t&amp; i, std::size_t&amp; j){</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        i = 0;</div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        j = 0;</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordtype">double</span> largestGradient = 0;</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="keywordtype">double</span> secondLargestGradient = 0;</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span> </div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keywordflow">for</span> (std::size_t a = 0; a &lt; problem.active(); a++){</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            <span class="keywordtype">double</span> g = problem.gradient(a);</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>            <span class="keywordflow">if</span> (!problem.isUpperBound(a) &amp;&amp; g &gt; secondLargestGradient){</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>                secondLargestGradient = g;</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>                j = a;</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            }</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>            <span class="keywordflow">if</span> (!problem.isLowerBound(a) &amp;&amp; -g &gt; secondLargestGradient){</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>                secondLargestGradient = -g;</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>                j = a;</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            }</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            <span class="keywordflow">if</span>(secondLargestGradient &gt; largestGradient){</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>                std::swap(secondLargestGradient,largestGradient);</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>                std::swap(i,j);</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>            }</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        }</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>        <span class="keywordflow">if</span>(secondLargestGradient == 0)</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>            j = i;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="keywordflow">return</span> largestGradient;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    }</div>
</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span> </div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"><a class="line" href="structshark_1_1_w_s2_maximum_gradient_criterion.html#aeaad8c0631f5fdbb14fccf22027c56a3">   72</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="structshark_1_1_w_s2_maximum_gradient_criterion.html#aeaad8c0631f5fdbb14fccf22027c56a3">reset</a>(){}</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>};</div>
</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span><span class="comment"></span> </div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span><span class="comment">/// \brief Working set selection by maximization of the projected gradient.</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment">///</span></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">/// This selection operator picks a single variable index.</span></div>
<div class="foldopen" id="foldopen00078" data-start="{" data-end="};">
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"><a class="line" href="structshark_1_1_maximum_gradient_criterion.html">   78</a></span><span class="comment"></span><span class="keyword">struct </span><a class="code hl_struct" href="structshark_1_1_maximum_gradient_criterion.html" title="Working set selection by maximization of the projected gradient.">MaximumGradientCriterion</a>{</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Problem&gt;</div>
<div class="foldopen" id="foldopen00080" data-start="{" data-end="}">
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"><a class="line" href="structshark_1_1_maximum_gradient_criterion.html#ab3250a533af9c6764b0f2abf09696c85">   80</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="structshark_1_1_maximum_gradient_criterion.html#ab3250a533af9c6764b0f2abf09696c85">operator()</a>(Problem&amp; problem, std::size_t&amp; i, std::size_t&amp; j){</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <a class="code hl_struct" href="structshark_1_1_w_s2_maximum_gradient_criterion.html" title="Working set selection by maximization of the projected gradient.">WS2MaximumGradientCriterion</a> criterion;</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keywordtype">double</span> value = criterion(problem, i,j);</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        j = i; <span class="comment">//we just use one variable here</span></div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordflow">return</span> value;</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    }</div>
</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span> </div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="structshark_1_1_maximum_gradient_criterion.html#a0dfe50ec011b9edf924aa8970e91ef7c">   87</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="structshark_1_1_maximum_gradient_criterion.html#a0dfe50ec011b9edf924aa8970e91ef7c">reset</a>(){}</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>};</div>
</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span><span class="comment"></span> </div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span><span class="comment">/// \brief Working set selection by maximization of the dual objective gain.</span></div>
<div class="foldopen" id="foldopen00091" data-start="{" data-end="};">
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"><a class="line" href="structshark_1_1_maximum_gain_criterion.html">   91</a></span><span class="comment"></span><span class="keyword">struct </span><a class="code hl_struct" href="structshark_1_1_maximum_gain_criterion.html" title="Working set selection by maximization of the dual objective gain.">MaximumGainCriterion</a>{</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> Problem&gt;</div>
<div class="foldopen" id="foldopen00093" data-start="{" data-end="}">
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"><a class="line" href="structshark_1_1_maximum_gain_criterion.html#aa4198e26d3157b43e01921ab354a5119">   93</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="structshark_1_1_maximum_gain_criterion.html#aa4198e26d3157b43e01921ab354a5119">operator()</a>(Problem&amp; problem, std::size_t&amp; i, std::size_t&amp; j){</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        <span class="comment">//choose first variable by first order criterion</span></div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        <a class="code hl_struct" href="structshark_1_1_maximum_gradient_criterion.html" title="Working set selection by maximization of the projected gradient.">MaximumGradientCriterion</a> firstOrder;</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        <span class="keywordtype">double</span> maxGrad = firstOrder(problem,i,j);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordflow">if</span> (maxGrad == 0.0)</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            <span class="keywordflow">return</span> maxGrad;</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span> </div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <span class="keywordtype">double</span> gi = problem.gradient(i);</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        <span class="keyword">typename</span> Problem::QpFloatType* q = problem.quadratic().row(i, 0, problem.active());</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keywordtype">double</span> Qii = problem.diagonal(i);</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span> </div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        <span class="comment">// select second variable j with second order method</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        <span class="keywordtype">double</span> maxGain = 0.0;</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keywordflow">for</span> (std::size_t a=0; a&lt;problem.active(); a++)</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        {</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            <span class="keywordflow">if</span> (a == i) <span class="keywordflow">continue</span>;</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            <span class="keywordtype">double</span> ga = problem.gradient(a);</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="keywordflow">if</span> (</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                (!problem.isLowerBound(a) &amp;&amp; ga &lt; 0.0) </div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                || (!problem.isUpperBound(a) &amp;&amp; ga &gt; 0.0)</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            ){</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                <span class="keywordtype">double</span> Qia = q[a];</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                <span class="keywordtype">double</span> Qaa = problem.diagonal(a);</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                <span class="keywordtype">double</span> gain = detail::maximumGainQuadratic2D(Qii,Qaa,Qia,gi,ga);</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                <span class="keywordflow">if</span> (gain &gt; maxGain)</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                {</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                    maxGain = gain;</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                    j = a;</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                }</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>            }</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        }</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span> </div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        <span class="keywordflow">return</span> maxGrad;     <span class="comment">// solution is not optimal</span></div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>    }</div>
</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span> </div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"><a class="line" href="structshark_1_1_maximum_gain_criterion.html#addb17e0779dd259a2ce4025fc93ba983">  128</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="structshark_1_1_maximum_gain_criterion.html#addb17e0779dd259a2ce4025fc93ba983">reset</a>(){}</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>};</div>
</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span><span class="comment"></span> </div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span><span class="comment">/// \brief Quadratic program with box constraints.</span></div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span><span class="comment">///</span></div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span><span class="comment">/// An instance of this class represents a quadratic program of the type</span></div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span><span class="comment">/// TODO: write documentation!</span></div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span><span class="comment">///</span></div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> SVMProblem&gt;</div>
<div class="foldopen" id="foldopen00138" data-start="{" data-end="};">
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html">  138</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_box_constrained_problem.html" title="Quadratic program with box constraints.">BoxConstrainedProblem</a>{</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">  140</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> SVMProblem::QpFloatType <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">QpFloatType</a>;</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ae6ac16940dad311fe5702588be55ce85">  141</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> SVMProblem::MatrixType <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ae6ac16940dad311fe5702588be55ce85">MatrixType</a>;</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a9a09c817b94eb35a5b80ecf647149b95">  142</a></span>    <span class="keyword">typedef</span> <a class="code hl_struct" href="structshark_1_1_maximum_gain_criterion.html" title="Working set selection by maximization of the dual objective gain.">MaximumGainCriterion</a> <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#a9a09c817b94eb35a5b80ecf647149b95">PreferedSelectionStrategy</a>;</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>    <span class="comment">//~ typedef MaximumGradientCriterion PreferedSelectionStrategy;</span></div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span> </div>
<div class="foldopen" id="foldopen00145" data-start="{" data-end="}">
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a5544fa68b725cb68c8af64b4133a7c74">  145</a></span>    <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a5544fa68b725cb68c8af64b4133a7c74">BoxConstrainedProblem</a>(SVMProblem&amp; problem)</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>    : <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>(problem)</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>    , <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(problem.<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a73aaea4e475b7d635e48f793202716c9">linear</a>)</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    , <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a575b8d0676d0e0f1ab8f476c0e28e434">m_active</a> (problem.<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>())</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    , <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>(problem.<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>(),<a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02a28e0b952dcae83b045ba488526875f3c">AlphaFree</a>){</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <span class="comment">//compute the gradient if alpha != 0</span></div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <span class="keywordflow">for</span> (std::size_t i=0; i != <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>(); i++){</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>            <span class="keywordtype">double</span> v = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>            <span class="keywordflow">if</span> (v != 0.0){</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>                <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">QpFloatType</a>* q = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0" title="representation of the quadratic part of the objective function">quadratic</a>().row(i, 0, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>                <span class="keywordflow">for</span> (std::size_t a=0; a &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>(); a++) </div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>                    <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(a) -= q[a] * v;</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>            }</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>            <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(i);</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        }</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>    }</div>
</div>
<div class="foldopen" id="foldopen00161" data-start="{" data-end="}">
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">  161</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.dimensions();</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    }</div>
</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span> </div>
<div class="foldopen" id="foldopen00165" data-start="{" data-end="}">
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">  165</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a575b8d0676d0e0f1ab8f476c0e28e434">m_active</a>;</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    }</div>
</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span> </div>
<div class="foldopen" id="foldopen00169" data-start="{" data-end="}">
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">  169</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">boxMin</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i]==<a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02a58dcbef75d88f882ee2072dbc57c6fad">AlphaDeactivated</a>? <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i): <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.boxMin(i);</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>    }</div>
</div>
<div class="foldopen" id="foldopen00172" data-start="{" data-end="}">
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">  172</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">boxMax</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i]==<a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02a58dcbef75d88f882ee2072dbc57c6fad">AlphaDeactivated</a>? <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i): <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.boxMax(i);</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>    }</div>
</div>
<div class="foldopen" id="foldopen00175" data-start="{" data-end="}">
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a066c7548372975c1dd243147c0adc1a3">  175</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a066c7548372975c1dd243147c0adc1a3">isLowerBound</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i] &amp; <a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02aba725b5f89015335eeea5ee054dae747">AlphaLowerBound</a>;</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>    }</div>
</div>
<div class="foldopen" id="foldopen00178" data-start="{" data-end="}">
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a598687378bfc492935546439156d9836">  178</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a598687378bfc492935546439156d9836">isUpperBound</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i] &amp; <a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02ab7f64265c75300658e04dfbc2ae28db5">AlphaUpperBound</a>;</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>    }</div>
</div>
<div class="foldopen" id="foldopen00181" data-start="{" data-end="}">
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a697ec9eb72894c871731ff96c880fb26">  181</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a697ec9eb72894c871731ff96c880fb26">isDeactivated</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a598687378bfc492935546439156d9836">isUpperBound</a>(i) &amp;&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a066c7548372975c1dd243147c0adc1a3">isLowerBound</a>(i);</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    }</div>
</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment"></span> </div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="comment">    /// representation of the quadratic part of the objective function</span></div>
<div class="foldopen" id="foldopen00186" data-start="{" data-end="}">
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0">  186</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ae6ac16940dad311fe5702588be55ce85">MatrixType</a>&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0" title="representation of the quadratic part of the objective function">quadratic</a>(){</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.quadratic;</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>    }</div>
</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span> </div>
<div class="foldopen" id="foldopen00190" data-start="{" data-end="}">
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a73aaea4e475b7d635e48f793202716c9">  190</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a73aaea4e475b7d635e48f793202716c9">linear</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.linear(i);</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>    }</div>
</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span> </div>
<div class="foldopen" id="foldopen00194" data-start="{" data-end="}">
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">  194</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i);</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>    }</div>
</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span> </div>
<div class="foldopen" id="foldopen00198" data-start="{" data-end="}">
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a4b54b554bd89a28a03d63d8dcc97f101">  198</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a4b54b554bd89a28a03d63d8dcc97f101">diagonal</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.diagonal(i);</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>    }</div>
</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span> </div>
<div class="foldopen" id="foldopen00202" data-start="{" data-end="}">
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">  202</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(i);</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>    }</div>
</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    </div>
<div class="foldopen" id="foldopen00206" data-start="{" data-end="}">
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#aa4d7bdfee487c84a8a3eea33a4848fd7">  206</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#aa4d7bdfee487c84a8a3eea33a4848fd7">permutation</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.permutation[i];</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>    }</div>
</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span> </div>
<div class="foldopen" id="foldopen00210" data-start="{" data-end="}">
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ad42a5a9b13d427f07fe532c2a02f88fc">  210</a></span>    RealVector <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad42a5a9b13d427f07fe532c2a02f88fc">getUnpermutedAlpha</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        RealVector <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>(); i++) </div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>            <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.permutation[i]) = <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i);</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>;</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>    }</div>
</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span><span class="comment"></span> </div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span><span class="comment">    ///\brief Does an update of SMO given a working set with indices i and j.</span></div>
<div class="foldopen" id="foldopen00218" data-start="{" data-end="}">
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ae2cc5b2f597778339bdeed341e71eff9">  218</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae2cc5b2f597778339bdeed341e71eff9" title="Does an update of SMO given a working set with indices i and j.">updateSMO</a>(std::size_t i, std::size_t j){</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(i &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>());</div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(j &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>());</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <span class="keywordflow">if</span>(i == j){<span class="comment">//both variables are identical, thus solve the 1-d problem.</span></div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>            <span class="comment">// get the matrix row corresponding to the working set</span></div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>            <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">QpFloatType</a>* q = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0" title="representation of the quadratic part of the objective function">quadratic</a>().row(i, 0, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>());</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span> </div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>            <span class="comment">// update alpha, that is, solve the sub-problem defined by i</span></div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>            <span class="comment">// and compute the stepsize mu of the step</span></div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>            <span class="keywordtype">double</span> mu = -<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>            detail::solveQuadraticEdge(<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i),<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(i),<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a4b54b554bd89a28a03d63d8dcc97f101">diagonal</a>(i),<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">boxMin</a>(i),<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">boxMax</a>(i));</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>            mu+=<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>            </div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>            <span class="comment">// update the internal states</span></div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>            <span class="keywordflow">for</span> (std::size_t a = 0; a &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>(); a++) </div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>                <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(a) -= mu * q[a];</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>            </div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>            <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(i);</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>            <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        }</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>        </div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>        <span class="keywordtype">double</span> Li = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">boxMin</a>(i);</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>        <span class="keywordtype">double</span> Ui = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">boxMax</a>(i);</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        <span class="keywordtype">double</span> Lj = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">boxMin</a>(j);</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        <span class="keywordtype">double</span> Uj = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">boxMax</a>(j);</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span> </div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="comment">// get the matrix rows corresponding to the working set</span></div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>        <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">QpFloatType</a>* qi = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0" title="representation of the quadratic part of the objective function">quadratic</a>().row(i, 0, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>());</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>        <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">QpFloatType</a>* qj = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0" title="representation of the quadratic part of the objective function">quadratic</a>().row(j, 0, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>());</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span> </div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>        <span class="comment">// solve the 2D sub-problem imposed by the two chosen variables</span></div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>        <span class="comment">// and compute the stepsizes mu</span></div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>        <span class="keywordtype">double</span> mui = -<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>        <span class="keywordtype">double</span> muj = -<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(j);</div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>        detail::solveQuadratic2DBox(<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i), <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(j),</div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(i), <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(j),</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>            <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a4b54b554bd89a28a03d63d8dcc97f101">diagonal</a>(i), qi[j], <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a4b54b554bd89a28a03d63d8dcc97f101">diagonal</a>(j),</div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span>            Li, Ui, Lj, Uj</div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span>        );</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>        mui += <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>        muj += <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(j);</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span> </div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span>        <span class="comment">// update the internal states</span></div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span>        <span class="keywordflow">for</span> (std::size_t a = 0; a &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>(); a++) </div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(a) -= mui * qi[a] + muj * qj[a];</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>            </div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>        <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(i);</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>        <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(j);</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>    }</div>
</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span><span class="comment"></span> </div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span><span class="comment">    ///\brief Returns the current function value of the problem.</span></div>
<div class="foldopen" id="foldopen00269" data-start="{" data-end="}">
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a9b5309afbd6858c2315e315bed865ff6">  269</a></span><span class="comment"></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9b5309afbd6858c2315e315bed865ff6" title="Returns the current function value of the problem.">functionValue</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>        <span class="keywordflow">return</span> 0.5*inner_prod(<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>+<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.linear,<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha);</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>    }</div>
</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span> </div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a5d8e3e168039a9f71b9b1ed0f3b9dc23">  273</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a5d8e3e168039a9f71b9b1ed0f3b9dc23">shrink</a>(<span class="keywordtype">double</span>){<span class="keywordflow">return</span> <span class="keyword">false</span>;}</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a379f06bbd07f0f7851596b5a43f53d3d">  274</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a379f06bbd07f0f7851596b5a43f53d3d">reshrink</a>(){}</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ac897d9b6915bf6899c7f456d63d15503">  275</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ac897d9b6915bf6899c7f456d63d15503">unshrink</a>(){}</div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span><span class="comment"></span> </div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span><span class="comment">    /// \brief Define the initial solution for the iterative solver.</span></div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span><span class="comment">    /// This method can be used to warm-start the solver. It requires a</span></div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span><span class="comment">    /// feasible solution (alpha) and the corresponding gradient of the</span></div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span><span class="comment">    /// dual objective function.</span></div>
<div class="foldopen" id="foldopen00282" data-start="{" data-end="}">
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a60cc7449d9f0d93d843780aa3fd36c72">  282</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a60cc7449d9f0d93d843780aa3fd36c72" title="Define the initial solution for the iterative solver.">setInitialSolution</a>(RealVector <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>, RealVector <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>)</div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>    {</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>        std::size_t n = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>();</div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>.size() == n);</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>.size() == n);</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;n; i++)</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>        {</div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>            std::size_t j = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#aa4d7bdfee487c84a8a3eea33a4848fd7">permutation</a>(i);</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>            <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(j) &gt;= <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">boxMin</a>(j) &amp;&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(j) &lt;= <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">boxMax</a>(j));</div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i) = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(j);</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(i) = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(j);</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>            <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(i);</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>        }</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>    }</div>
</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span><span class="comment"></span> </div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span><span class="comment">    /// \brief Define the initial solution for the iterative solver.</span></div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span><span class="comment">    /// This method can be used to warm-start the solver. It requires a</span></div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span><span class="comment">    /// feasible solution (alpha), for which it computes the gradient of</span></div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span><span class="comment">    /// the dual objective function. Note that this is a quadratic time</span></div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span><span class="comment">    /// operation in the number of non-zero coefficients.</span></div>
<div class="foldopen" id="foldopen00303" data-start="{" data-end="}">
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ae5182e43e8faad6b4996ab251e126032">  303</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae5182e43e8faad6b4996ab251e126032" title="Define the initial solution for the iterative solver.">setInitialSolution</a>(RealVector <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>)</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>    {</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>        std::size_t n = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>();</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>.size() == n);</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span>        RealVector <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a> = <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.linear;</div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span>        blas::vector&lt;QpFloatType&gt; q(n);</div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;n; i++)</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>        {</div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>            <span class="keywordtype">double</span> a = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span>            <span class="keywordflow">if</span> (a == 0.0) <span class="keywordflow">continue</span>;</div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.quadratic.row(i, 0, n, q.storage());</div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>            noalias(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>) -= a * q;</div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>        }</div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>        <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a60cc7449d9f0d93d843780aa3fd36c72" title="Define the initial solution for the iterative solver.">setInitialSolution</a>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>);</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>    }</div>
</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>    <span class="comment"></span></div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span><span class="comment">    ///\brief Remove the i-th example from the problem.</span></div>
<div class="foldopen" id="foldopen00320" data-start="{" data-end="}">
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#addce0a45f76c289e79eb03012b26efaf">  320</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#addce0a45f76c289e79eb03012b26efaf" title="Remove the i-th example from the problem.">deactivateVariable</a>(std::size_t i){</div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(i &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>        <span class="keywordtype">double</span> alphai = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae0e263a6f4ea23985dd6e4b658e0a047">alpha</a>(i);</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i) = 0;</div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>        <span class="comment">//update the internal state</span></div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span>        <a class="code hl_typedef" href="classshark_1_1_box_constrained_problem.html#ad543ba354e420a5689e44919a44d190d">QpFloatType</a>* qi = <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a66e89cd77e2cebd9f47b0c1777976aa0" title="representation of the quadratic part of the objective function">quadratic</a>().row(i, 0, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>());</div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span>        <span class="keywordflow">for</span> (std::size_t a = 0; a &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a0541d4c711a6d82bf2063d9cf030e551">active</a>(); a++) </div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(a) += alphai * qi[a];</div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i] = <a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02a58dcbef75d88f882ee2072dbc57c6fad">AlphaDeactivated</a>;</div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span><span class="comment">    ///\brief Reactivate an previously deactivated variable.</span></div>
<div class="foldopen" id="foldopen00331" data-start="{" data-end="}">
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a3e70b06e9879ac5d14192b7b1ed551c9">  331</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a3e70b06e9879ac5d14192b7b1ed551c9" title="Reactivate an previously deactivated variable.">activateVariable</a>(std::size_t i){</div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(i &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>        <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(i);</div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>    }</div>
</div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>    <span class="comment"></span></div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span><span class="comment">    /// exchange two variables via the permutation</span></div>
<div class="foldopen" id="foldopen00337" data-start="{" data-end="}">
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a000d9bb8ba192023087461a40cd284d1">  337</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a000d9bb8ba192023087461a40cd284d1" title="exchange two variables via the permutation">flipCoordinates</a>(std::size_t i, std::size_t j)</div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span>    {</div>
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(i &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00340" name="l00340"></a><span class="lineno">  340</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(j &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00341" name="l00341"></a><span class="lineno">  341</span>        <span class="keywordflow">if</span> (i == j) <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno">  342</span> </div>
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.flipCoordinates(i, j);</div>
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno">  344</span>        std::swap( <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>[i], <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>[j]);</div>
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno">  345</span>        std::swap( <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i], <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[j]);</div>
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>    }</div>
</div>
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>    <span class="comment"></span></div>
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span><span class="comment">    /// \brief adapts the linear part of the problem and updates the internal data structures accordingly.</span></div>
<div class="foldopen" id="foldopen00349" data-start="{" data-end="}">
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a93e3a2d3665ed4a8a7e51b610e41dce9">  349</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a93e3a2d3665ed4a8a7e51b610e41dce9" title="adapts the linear part of the problem and updates the internal data structures accordingly.">setLinear</a>(std::size_t i, <span class="keywordtype">double</span> newValue){</div>
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno">  350</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(i) -= <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a73aaea4e475b7d635e48f793202716c9">linear</a>(i);</div>
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>(i) += newValue;</div>
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.linear(i) = newValue;</div>
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno">  353</span>    }</div>
</div>
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span>    </div>
<div class="foldopen" id="foldopen00355" data-start="{" data-end="}">
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#af60ac2b478f7a141fca100daa8217edd">  355</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#af60ac2b478f7a141fca100daa8217edd">checkKKT</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span>        <span class="keywordtype">double</span> maxViolation = 0.0;</div>
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno">  357</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>(); ++i){</div>
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span>            <span class="keywordflow">if</span>(<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a697ec9eb72894c871731ff96c880fb26">isDeactivated</a>(i)) <span class="keywordflow">continue</span>;</div>
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno">  359</span>            <span class="keywordflow">if</span>(!<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a598687378bfc492935546439156d9836">isUpperBound</a>(i)){</div>
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno">  360</span>                maxViolation = std::max(maxViolation, <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(i));</div>
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno">  361</span>            }</div>
<div class="line"><a id="l00362" name="l00362"></a><span class="lineno">  362</span>            <span class="keywordflow">if</span>(!<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a066c7548372975c1dd243147c0adc1a3">isLowerBound</a>(i)){</div>
<div class="line"><a id="l00363" name="l00363"></a><span class="lineno">  363</span>                maxViolation = std::max(maxViolation, -<a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(i));</div>
<div class="line"><a id="l00364" name="l00364"></a><span class="lineno">  364</span>            }</div>
<div class="line"><a id="l00365" name="l00365"></a><span class="lineno">  365</span>        }</div>
<div class="line"><a id="l00366" name="l00366"></a><span class="lineno">  366</span>        <span class="keywordflow">return</span> maxViolation;</div>
<div class="line"><a id="l00367" name="l00367"></a><span class="lineno">  367</span>    }</div>
</div>
<div class="line"><a id="l00368" name="l00368"></a><span class="lineno">  368</span> </div>
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00370" name="l00370"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">  370</a></span>    SVMProblem&amp; <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>;</div>
<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span><span class="comment"></span> </div>
<div class="line"><a id="l00372" name="l00372"></a><span class="lineno">  372</span><span class="comment">    /// gradient of the objective function at the current alpha</span></div>
<div class="line"><a id="l00373" name="l00373"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03">  373</a></span><span class="comment"></span>    RealVector <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a3ce2ae73fbcee010525160761665fa03" title="gradient of the objective function at the current alpha">m_gradient</a>;  </div>
<div class="line"><a id="l00374" name="l00374"></a><span class="lineno">  374</span> </div>
<div class="line"><a id="l00375" name="l00375"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#a575b8d0676d0e0f1ab8f476c0e28e434">  375</a></span>    std::size_t <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a575b8d0676d0e0f1ab8f476c0e28e434">m_active</a>;</div>
<div class="line"><a id="l00376" name="l00376"></a><span class="lineno">  376</span> </div>
<div class="line"><a id="l00377" name="l00377"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">  377</a></span>    std::vector&lt;char&gt; <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>;</div>
<div class="line"><a id="l00378" name="l00378"></a><span class="lineno">  378</span> </div>
<div class="foldopen" id="foldopen00379" data-start="{" data-end="}">
<div class="line"><a id="l00379" name="l00379"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">  379</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f62b98e7f7cd1ae112445192f27a1b">updateAlphaStatus</a>(std::size_t i){</div>
<div class="line"><a id="l00380" name="l00380"></a><span class="lineno">  380</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(i &lt; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a9ac86914b79e249895e9aa37a2eee055">dimensions</a>());</div>
<div class="line"><a id="l00381" name="l00381"></a><span class="lineno">  381</span>        <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i] = <a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02a28e0b952dcae83b045ba488526875f3c">AlphaFree</a>;</div>
<div class="line"><a id="l00382" name="l00382"></a><span class="lineno">  382</span>        <span class="keywordflow">if</span>(<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i) == <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">boxMax</a>(i))</div>
<div class="line"><a id="l00383" name="l00383"></a><span class="lineno">  383</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i] |= <a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02ab7f64265c75300658e04dfbc2ae28db5">AlphaUpperBound</a>;</div>
<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span>        <span class="keywordflow">if</span>(<a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#a4fb5abe606ff4359daa992960634f5a8">m_problem</a>.alpha(i) == <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">boxMin</a>(i))</div>
<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span>            <a class="code hl_variable" href="classshark_1_1_box_constrained_problem.html#aebedd6dc4e4e1511da942671351e5acf">m_alphaStatus</a>[i] |= <a class="code hl_enumvalue" href="namespaceshark.html#a51a13ac7e3cbd1f789124f6f132e5d02aba725b5f89015335eeea5ee054dae747">AlphaLowerBound</a>;</div>
<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span>    }</div>
</div>
<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>    </div>
<div class="foldopen" id="foldopen00388" data-start="{" data-end="}">
<div class="line"><a id="l00388" name="l00388"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_problem.html#ae85edb4b01745005489b5ced51e4253e">  388</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae85edb4b01745005489b5ced51e4253e">testShrinkVariable</a>(std::size_t a, <span class="keywordtype">double</span> largestUp, <span class="keywordtype">double</span> smallestDown)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00389" name="l00389"></a><span class="lineno">  389</span>        smallestDown = std::min(smallestDown, 0.0);</div>
<div class="line"><a id="l00390" name="l00390"></a><span class="lineno">  390</span>        largestUp = std::max(largestUp, 0.0);</div>
<div class="line"><a id="l00391" name="l00391"></a><span class="lineno">  391</span>        <span class="keywordflow">if</span> (</div>
<div class="line"><a id="l00392" name="l00392"></a><span class="lineno">  392</span>            ( <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a066c7548372975c1dd243147c0adc1a3">isLowerBound</a>(a) &amp;&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(a) &lt; smallestDown)</div>
<div class="line"><a id="l00393" name="l00393"></a><span class="lineno">  393</span>            || ( <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#a598687378bfc492935546439156d9836">isUpperBound</a>(a) &amp;&amp; <a class="code hl_function" href="classshark_1_1_box_constrained_problem.html#ae716d77fe6226ae3d032e39586f54219">gradient</a>(a) &gt;largestUp)</div>
<div class="line"><a id="l00394" name="l00394"></a><span class="lineno">  394</span>        ){</div>
<div class="line"><a id="l00395" name="l00395"></a><span class="lineno">  395</span>            <span class="comment">// In this moment no feasible step including this variable</span></div>
<div class="line"><a id="l00396" name="l00396"></a><span class="lineno">  396</span>            <span class="comment">// can improve the objective. Thus deactivate the variable.</span></div>
<div class="line"><a id="l00397" name="l00397"></a><span class="lineno">  397</span>            <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a id="l00398" name="l00398"></a><span class="lineno">  398</span>        }</div>
<div class="line"><a id="l00399" name="l00399"></a><span class="lineno">  399</span>        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a id="l00400" name="l00400"></a><span class="lineno">  400</span>    }</div>
</div>
<div class="line"><a id="l00401" name="l00401"></a><span class="lineno">  401</span>};</div>
</div>
<div class="line"><a id="l00402" name="l00402"></a><span class="lineno">  402</span> </div>
<div class="line"><a id="l00403" name="l00403"></a><span class="lineno">  403</span><span class="keyword">template</span>&lt;<span class="keyword">class</span> Problem&gt;</div>
<div class="foldopen" id="foldopen00404" data-start="{" data-end="};">
<div class="line"><a id="l00404" name="l00404"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_shrinking_problem.html">  404</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_box_constrained_shrinking_problem.html">BoxConstrainedShrinkingProblem</a>: <span class="keyword">public</span> <a class="code hl_struct" href="structshark_1_1_box_based_shrinking_strategy.html" title="Takes q boxx constrained QP-type problem and implements shrinking on it.">BoxBasedShrinkingStrategy</a>&lt;BoxConstrainedProblem&lt;Problem&gt; &gt;{</div>
<div class="line"><a id="l00405" name="l00405"></a><span class="lineno">  405</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00406" data-start="{" data-end="}">
<div class="line"><a id="l00406" name="l00406"></a><span class="lineno"><a class="line" href="classshark_1_1_box_constrained_shrinking_problem.html#ac8a3920dc82f084fa2bf75df70eb2134">  406</a></span>    <a class="code hl_function" href="classshark_1_1_box_constrained_shrinking_problem.html#ac8a3920dc82f084fa2bf75df70eb2134">BoxConstrainedShrinkingProblem</a>(Problem&amp; problem, <span class="keywordtype">bool</span> <a class="code hl_function" href="structshark_1_1_box_based_shrinking_strategy.html#aaa20fc55d3f28d930e26ca577621c44d">shrink</a>=<span class="keyword">true</span>)</div>
<div class="line"><a id="l00407" name="l00407"></a><span class="lineno">  407</span>    :<a class="code hl_struct" href="structshark_1_1_box_based_shrinking_strategy.html" title="Takes q boxx constrained QP-type problem and implements shrinking on it.">BoxBasedShrinkingStrategy</a>&lt;<a class="code hl_class" href="classshark_1_1_box_constrained_problem.html" title="Quadratic program with box constraints.">BoxConstrainedProblem</a>&lt;Problem&gt; &gt;(problem,<a class="code hl_function" href="structshark_1_1_box_based_shrinking_strategy.html#aaa20fc55d3f28d930e26ca577621c44d">shrink</a>){}</div>
</div>
<div class="line"><a id="l00408" name="l00408"></a><span class="lineno">  408</span>};</div>
</div>
<div class="line"><a id="l00409" name="l00409"></a><span class="lineno">  409</span> </div>
<div class="line"><a id="l00410" name="l00410"></a><span class="lineno">  410</span>}</div>
<div class="line"><a id="l00411" name="l00411"></a><span class="lineno">  411</span><span class="preprocessor">#endif</span></div>
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